Coupled Assessment of Landscape Quality and Vitality in Historic Districts: A Multi-Source Street-Level Study of Xiwenmiaoping, Changsha_Vol. 4 No. 2 (JIEM 2026)_Journal of Industry and Engineering Management (ISSN: 2959-0612)

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Coupled Assessment of Landscape Quality and Vitality in Historic Districts: A Multi-Source Street-Level Study of Xiwenmiaoping, Changsha

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DOI: https://doi.org/10.62517/jiem.202603209

Author(s)

Yanxiang Wang, Jing Li*

Affiliation(s)

School of Architecture and Art, North China University of Technology, Beijing, China *Corresponding Author

Abstract

This study addresses the lack of systematic quantitative analysis in historic district revitalization by examining the Xiweng Miping Historic District in Changsha. A three-dimensional framework was developed, comprising the Facade Quality Index (FQI), Service Attractiveness Index (SGI), and Activity Vitality Index (AVI), integrating deep learning street scene analysis, multi-source POI data, social media, and YOLOv8-based pedestrian detection. Quantitative assessment and K-means clustering of 32 street segments reveal a negative correlation between FQI and AVI (r = −0.390, p = 0.024), indicating that physical restoration alone does not enhance vitality. Misaligned cultural and commercial POIs further limit functional transformation into vitality. Four coupling types were identified, with the “comprehensive low-value” type dominant (40.6%), reflecting limited revitalization efficiency. Findings suggest that improving vitality requires coordinated planning of cultural and commercial projects and better accessibility, offering evidence-based support for refined historic district renewal.

Keywords

Historic District; Street-View Imagery; Deep Learning; Spatial Vitality; Coupling Analysis

References

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